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ECCV
2002
Springer
14 years 9 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
CGF
2008
128views more  CGF 2008»
13 years 7 months ago
Hierarchical Convex Approximation of 3D Shapes for Fast Region Selection
Given a 3D solid model S represented by a tetrahedral mesh, we describe a novel algorithm to compute a hierarchy of convex polyhedra that tightly enclose S. The hierarchy can be b...
Marco Attene, Michela Mortara, Michela Spagnuolo, ...
BIBE
2007
IEEE
114views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
A Hierarchical Grow-and-Match Algorithm for Backbone Resonance Assignments Given 3D Structure
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
Fei Xiong, Chris Bailey-Kellogg
TOG
2008
291views more  TOG 2008»
13 years 7 months ago
Interactive 3D architectural modeling from unordered photo collections
We present an interactive system for generating photorealistic, textured, piecewise-planar 3D models of architectural structures and urban scenes from unordered sets of photograph...
Sudipta N. Sinha, Drew Steedly, Richard Szeliski, ...
PR
2007
216views more  PR 2007»
13 years 7 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee